L | Date | Lecturer | Contents | Materials |
1 | 19.9. | JK | Introduction, course map, requirements. Linear regression (continuous dependent variable, simple linear regression, p-values). | SAN_intro, SAN_regression, SAN_regression_video |
2 | 26.9. | JK | Multivariate regression (overfitting, model shrinkage). | see the previous slides, SAN_shrinkage_video |
3 | 3.10. | JK | Nonlinear regression (polynomial regression, splines, local regression). | SAN_nlin_regression, SAN_nlin_video |
4 | 10.10. | JK | Nonlinear regression (polynomial regression, splines, local regression). | see the previous slides (and video) |
5 | 17.10. | JK | Discriminant analysis (categorical dependent variable, LDA, logistic regression). | SAN_discriminant, SAN_disc_dimred_video |
6 | 24.10. | JK | Generalized linear models (GLMs). | SAN_GLMs, SAN_GLMs_video |
7 | 31.10. | JK | (Multivariate) confirmation analysis (ANOVA and MANOVA). | SAN_manova, SAN_anova_video, SAN_manova_video |
8 | 7.11. | JK | Dimension reduction (PCA and kernel PCA). | SAN_dimred, SAN_dimred_video |
9 | 14.11. | JK | Dimension reduction (other non-linear methods). | see the previous slides (and video) |
10 | 21.11. | TP | Robust statistics. | SAN_robust, SAN_robust_video |
11 | 28.11. | TP | Anomaly detection. | Anomaly, SAN_anomaly_video |
12 | 5.12. | ZM | Empirical studies, their design and evaluation. Power analysis. | SAN_emp_studies_power_analysis, SAN_emp_studies_video |
13 | 12.12. | JK | Clustering (formalism, k-means, EM GMM, hierarchical). | SAN_clustering, SAN_clustering_video |
14 | 9.1. | JK | Clustering (spectral clustering). | SAN_spect_clustering, SAN_spect_clustering_video |